Data centers are drawing intense scrutiny over water consumption, but a new policy report suggests the real issue isn't the direct water use inside cooling systems,it's the invisible water footprint of the electricity powering them. According to research released Monday by the Information Technology & Innovation Foundation's Center for Clean Energy Innovation, the solution isn't federal mandates or blanket moratoriums, but rather state-led governance with standardized measurement and transparency.

How Much Water Do Data Centers Actually Use?

The numbers can be misleading depending on what you measure. Data centers directly consumed approximately 17.4 billion gallons of water annually in 2023, according to estimates from Lawrence Berkeley National Laboratory. That sounds like a lot until you consider the full picture: the same facilities indirectly consumed another 211 billion gallons for electricity production, or roughly 12 times the direct consumption.

Combined, that totals less than 1% of all U.S. water consumption. To put this in perspective, golf courses consume between 450 and 500 billion gallons annually, making data centers a relatively minor player in the nation's water budget.

Why Is Everyone So Worried If the Numbers Are Small?

The concern isn't really about national averages; it's about what happens locally. Arizona, Pennsylvania, Georgia, and Virginia face vastly different water realities, and a massive data center in a drought-prone region can strain local water supplies regardless of what the national statistics show.

The real problem, according to experts, is that nobody actually knows what's happening. "You can't fix what you don't measure, and right now nobody measures water consumption the same way on a state or federal level," explained Stuart Lacey, founder and CEO of Labrynth, a platform for regulatory compliance in heavily regulated industries.

"State officials, regulators, and communities are all left guessing about storage and consumption. More than $130 billion in projects got delayed or scrapped in the first quarter of this year, and very little of that was about actual scarcity. It was about trust, and trust starts with data everyone can see," said Stuart Lacey.

Stuart Lacey, Founder and CEO of Labrynth

This lack of transparency has real consequences. Uncertainty about water usage has led to project delays and cancellations worth over $130 billion in the first quarter of 2026 alone, even in regions where water isn't actually scarce.

The Hidden Water Footprint: Power Generation

The indirect water consumption is where the story gets complicated. Every megawatt of power a data center draws from the grid carries a water footprint attached to it upstream, whether that power comes from natural gas plants, coal facilities, or nuclear stations. This is the piece the industry has been slowest to address.

"The servers and networking equipment inside a modern AI data center run hot, and if you don't pull that heat out, the equipment will fail. Water has historically been one of the cheapest and most effective ways to do that at scale, but with the rapid growth of AI and digital transformation, the scale has grown dramatically," explained Whitaker Irvin Jr., president and CEO of Q Hydrogen.

Whitaker Irvin Jr., President and CEO of Q Hydrogen

Irvin added that the industry has been transparent about cooling inside data centers but less forthcoming about the power generation life cycle that makes those facilities run. "The industry has gotten pretty good at telling a story about what happens inside the building, but hasn't been nearly as honest about what's happening in the power generation life cycle that makes the building run the way it does," he noted.

Irvin

What Solutions Already Exist?

The good news is that technology to sharply reduce water use already exists. Several major tech companies are already adopting zero-water or near-zero cooling designs. Nvidia has announced liquid-cooling technology for its Rubin generation of AI infrastructure that can reduce water consumption to near zero, while Microsoft has introduced AI-optimized data centers that use closed-loop systems with zero water for cooling operations.

One of the most practical near-term options for high-density AI systems is closed-loop, direct-to-chip liquid cooling. Instead of cooling an entire room, this approach brings liquid directly to the hottest parts of the server, significantly reducing the need for fresh water.

Steps to Implement Better Data Center Water Governance

• Standardized Measurement: Require all large industrial users, including data centers, to disclose water-use data consistently across states and federal jurisdictions so regulators and communities have accurate information.
• Performance-Based Standards: Tie water use to performance standards rather than adoption of specific technologies, allowing operators flexibility in how they meet targets based on local watershed needs and economics.
• Joint Regulatory Review: Have water and electricity regulators develop joint review protocols to account for both direct cooling water and indirect consumption through power generation.
• Local Jurisdiction Authority: Require data centers seeking to locate in a region to demonstrate their water usage plans and accounting methods to local jurisdictions, from state level down to municipal authorities.

The policy report emphasizes that technology-neutral performance standards are smarter than mandating specific cooling technologies. "Mandating a specific cooling technology locks in today's engineering and freezes out whatever comes next," noted Mark McNees, director of social and sustainable enterprises at the Jim Moran College of Entrepreneurship at Florida State University.

"You cannot manage what you cannot measure. Standardized facility-level disclosure of total withdrawals, total consumption, water source, peak-day demand, and full-build projections is the foundation on which everything else depends," said Mark McNees.

Mark McNees, Director of Social and Sustainable Enterprises at Jim Moran College of Entrepreneurship

The report's core recommendation is straightforward: states should lead data center water oversight with standardized metrics and transparency requirements. This approach mirrors what already happens on the electricity side and gives communities the visibility they need to make informed decisions about whether and where data centers should be built.

Robin Gaster, research director of the Information Technology & Innovation Foundation's Center for Clean Energy Innovation, summarized the challenge: "Arizona, Pennsylvania, Georgia, and Virginia face different water realities. The answer is not to stop data center development. It is to make water impacts visible, measure them consistently, and regulate them where the local watershed actually needs protection".